We are hiring a senior revenue strategist to design and oversee our long-term revenue roadmap - from pricing and segmentation to predictive models and commercial insights.
Overview of the role:
The Head of Revenue Strategy & Analytics is responsible for translating the Group’s commercial strategy into a structured, data-driven revenue framework, with the objective of maximising GOP through TREVPAR growth, margin optimisation, and enterprise-wide alignment across all existing and future business units.
Operating independently from Commercial and Revenue Management Operations, the role provides strategic challenge, analytical depth, and objective insight to assess risks and opportunities, enabling informed, high-quality commercial decision-making. While primarily strategic and advisory in nature, the role contributes, where required, to discussions on day-to-day revenue execution, which remains under the responsibility of the Head of Revenue Management - Operations.
Key Responsibilities:
- Act as the revenue strategy lead, partnering with the CCO to define the long-term revenue architecture for ER Hospitality.
- Shape and monitor long-term revenue ambitions, including ADR, TREVPOR, capacity evolution, pricing direction, segmentation strategy, channel mix, and priority markets.
- Take full accountability for the preparation, validation, and communication of the annual revenue budget.
- Provide independent, data-driven challenge to Sales, Operations, RM Operations, and Commercial teams to ensure contribution, margin, and profitability are protected at all times.
- Act as guardian of channel-level P&L performance, including direct and indirect distribution channels.
- Evaluate the financial and strategic impact of structural pricing decisions, ensuring alignment with brand positioning and financial objectives.
- Design and deploy advanced predictive models to assess risks and returns of major commercial initiatives (e.g. capacity expansion, renovations, pricing changes, meal plan structures, new sales channels, overrides).
- Partner closely with Operations, Sales, and Finance to ensure commercial decisions are robust, quantified, and execution-ready.
- Recommend mitigation actions to manage revenue, margin, and demand risks.
- Own and lead the end-to-end forecasting cycle for all revenue-generating units.
- Build predictive demand models covering market shifts, pricing scenarios, ADR–volume trade-offs, and channel evolution.
- Deliver early-warning insights on revenue risks, including pacing anomalies, market softening, over-dependency on specific segments, channels or meal plans, distribution cost escalation, and competitive threats.
- Continuously analyse market trends, competitor behaviour, macroeconomic indicators, and source-market dynamics to identify risks and growth opportunities.
- Leverage analytics to drive total revenue optimisation, including in-stay expenditure and ancillary revenue, in close collaboration with Operations teams.
- Define and lead the roadmap for strategic BI dashboards, including direct margin analytics, displacement models, OTA performance, overbooking risk, extras forecasting, golf analytics, and market-insight integration, in collaboration with IT.
- Oversee the development and deployment of the Unified Data Platform (Mini-RMS) to support forecasting accuracy, elasticity modelling, availability optimisation, and margin analysis.
- Identify gaps in forecasting logic, segmentation, elasticity modelling, and pricing analytics, and lead capability-building initiatives to address them.
- Ensure commercial data integrity, consistency, and strategic use across all revenue and commercial decision-making processes.
- Evaluate, source, and integrate external data sets to benchmark performance against the competitive set and industry standards.
- Act as guardian and project manager of the 3-year Commercial and Revenue Strategic Plan.
- Drive the delivery of key revenue initiatives from design through execution, ensuring milestones, timelines, and outcomes are achieved.
- Provide clear progress reporting and strategic insights to senior leadership and key stakeholders.
Candidate's Profile:
- Degree in Business, Finance, Economics, Engineering, Data Analytics, or a related quantitative discipline; advanced or data-adjacent qualifications are a strong advantage.
- Strong background in Revenue Management and Commercial Strategy, with a clear strategic (non-operational) focus.
- Proven ability to challenge and influence commercial and sales teams through data-driven insights.
- Solid understanding of pricing strategy, product positioning, competitive dynamics, and distribution channels.
- Highly analytical and data-driven, with strong digital and business analytics capability.
- Experience assessing commercial risks and revenue opportunities across markets and channels.